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Developers building ML systems for tabular data have a new high-performance option to benchmark against, while business teams evaluating vendor solutions for predictive analytics on structured data gain an additional capability to consider in their vendor and model selection decisions.
NVIDIA released Kumo Tabular, a new model that advances the accuracy-efficiency frontier for tabular data prediction tasks. This represents a technical advancement in ML tooling for structured data, a domain where traditional ML and newer deep learning approaches compete.
Read the full article at HuggingFace
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